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STEM Faculty

Meet the people who make up STEM Faculty.

Michael Hubbard

Michael Hubbard

CEI Research Fellow

physical-sciences

Michael received his PhD from the University of Surrey in 2020, where he studied pulse shape discrimination in plastic scintillators for applications in nuclear security. He subsequently joined the Centre of Electronic Imaging (CEI) at The Open University, where he is currently a Research Fellow working on radiation effects and detector modelling for space applications.

At CEI, Michael's research focuses on space radiation environment and radiation effects simulations using the Geant4 toolkit, applied to advanced detector and instrument concepts for future space missions. His work includes modelling radiation backgrounds, detector response, and dose damage, and validating simulations using ground-based irradiation experiments to support instrument and system design. He is currently associated with several missions, including NewAthena, SMILE, and THESEUS.

In addition to radiation transport modelling, Michael is developing device-level simulation approaches and digital twin methodologies, integrating detector physics, radiation effects, and systems modelling to support performance prediction across space and related application domains.

Michael also has an emerging research interest in interdisciplinary applications linking space radiation environments, radiation exposure, and cardiovascular science, with particular emphasis on model-driven approaches that connect physical radiation environments to biological and medical contexts.

Michael is open to collaboration with academic and industrial partners in areas related to radiation modelling, detector development, digital twins, and cross-disciplinary applications involving space, medical, and radiation sciences.

Research interests

  • Space radiation environments and radiation effects
  • Radiation transport simulations (Geant4)
  • Detector physics and response modelling
  • Scintillation detector technologies
  • Detection techniques and data analysis algorithms
  • X-ray, neutron, and charged-particle detection
  • Muon tomography
  • Radiation protection for Solar Cells 
  • Digital twins and device-level simulation
  • Radiation effects in space and medical contexts
  • Interdisciplinary applications linking radiation physics and health